• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

EZH1 转录因子下调预示三阴性乳腺癌患者预后不良。

Downregulation of the enhancer of zeste homolog 1 transcriptional factor predicts poor prognosis of triple-negative breast cancer patients.

机构信息

Department of Medical Oncology, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, China.

Department of Breast Surgery, Guangxi Medical University Cancer Hospital, Nanning, Guangxi, China.

出版信息

PeerJ. 2022 Jul 12;10:e13708. doi: 10.7717/peerj.13708. eCollection 2022.

DOI:10.7717/peerj.13708
PMID:35846880
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9285492/
Abstract

BACKGROUND

Triple-negative breast cancer (TNBC) is the most malignant subtype of breast cancer and lacks effective biomarkers. This study seeks to unravel the expression status and the prospective transcriptional mechanisms of EZH1/EZH2 in TNBC tissue samples. Moreover, another objective of this study is to reveal the prognostic molecular signatures for risk stratification in TNBC patients.

METHODS

To determine the expression status of EZH1/EZH2 in TNBC tissue samples, microarray analysis and immunohistochemistry were performed on in house breast cancer tissue samples. External mRNA expression matrices were used to verify its expression patterns. Furthermore, the prospective transcriptional mechanisms of EZH1/EZH2 in TNBC were explored by performing differential expression analysis, co-expression analysis, and chromatin immunoprecipitation sequencing analysis. Kaplan-Meier survival analysis and univariate Cox regression analysis were utilized to detect the prognostic molecular signatures in TNBC patients. Nomogram and time-dependent receiver operating characteristic curves were plotted to predict the risk stratification ability of the prognostic-signatures-based Cox model.

RESULTS

In-house TMAs (66 TNBC . 106 non-TNBC) and external gene microarrays, as well as RNA-seq datasets (1,135 TNBC . 6,198 non-TNBC) results, confirmed the downregulation of EZH1 at both the protein and mRNA levels (SMD = -0.59 [-0.80, -0.37]), as is opposite to that of EZH2 (SMD = 0.74 [0.40, 1.08]). The upregulated transcriptional target genes of EZH1 were significantly aggregated in the cell cycle pathway, where , , , and were determined as key transcriptional targets. Additionally, the downregulated transcriptional targets of EZH2 were enriched in response to the hormone, where ESR1 was identified as the hub gene. The six-signature-based prognostic model produced an impressive performance in this study, with a training AUC of 0.753, 0.981, and 0.977 at 3-, 5-, and 10-year survival probability, respectively.

CONCLUSION

EZH1 downregulation may be a key modulator in the progression of TNBC through negative transcriptional regulation by targeting , , , and .

摘要

背景

三阴性乳腺癌(TNBC)是乳腺癌最恶性的亚型,缺乏有效的生物标志物。本研究旨在揭示 EZH1/EZH2 在 TNBC 组织样本中的表达状态和潜在的转录机制。此外,本研究的另一个目的是揭示用于 TNBC 患者风险分层的预后分子特征。

方法

为了确定 EZH1/EZH2 在 TNBC 组织样本中的表达状态,对内部乳腺癌组织样本进行了微阵列分析和免疫组织化学分析。使用外部 mRNA 表达矩阵验证其表达模式。此外,通过进行差异表达分析、共表达分析和染色质免疫沉淀测序分析,探索了 EZH1/EZH2 在 TNBC 中的潜在转录机制。采用 Kaplan-Meier 生存分析和单因素 Cox 回归分析检测 TNBC 患者的预后分子特征。绘制列线图和时间依赖性接收器操作特征曲线,以预测基于预后标志物的 Cox 模型的风险分层能力。

结果

内部 TMAs(66 例 TNBC,106 例非 TNBC)和外部基因微阵列以及 RNA-seq 数据集(1135 例 TNBC,6198 例非 TNBC)的结果证实,EZH1 的蛋白和 mRNA 水平均下调(SMD=-0.59[-0.80,-0.37]),而 EZH2 的表达上调(SMD=0.74[0.40,1.08])。EZH1 的上调转录靶基因在细胞周期途径中显著聚集,其中、、、和被确定为关键转录靶基因。此外,EZH2 的下调转录靶基因在激素反应中富集,其中 ESR1 被鉴定为枢纽基因。基于六个标志物的预后模型在本研究中表现出色,在 3 年、5 年和 10 年生存率的训练 AUC 分别为 0.753、0.981 和 0.977。

结论

EZH1 的下调可能是通过靶向、、、和负向转录调控,成为 TNBC 进展的关键调节剂。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/aec5/9285492/499509cd1394/peerj-10-13708-g012.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/aec5/9285492/227a71abc036/peerj-10-13708-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/aec5/9285492/2af621a0f4e7/peerj-10-13708-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/aec5/9285492/42249f178c91/peerj-10-13708-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/aec5/9285492/834f049cbbe9/peerj-10-13708-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/aec5/9285492/9dd46846046a/peerj-10-13708-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/aec5/9285492/cee1d0962550/peerj-10-13708-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/aec5/9285492/b0d7bbc8a749/peerj-10-13708-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/aec5/9285492/1e73ee385073/peerj-10-13708-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/aec5/9285492/198ea9419186/peerj-10-13708-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/aec5/9285492/67a1d8d8f578/peerj-10-13708-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/aec5/9285492/2abaa5b2c0ac/peerj-10-13708-g011.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/aec5/9285492/499509cd1394/peerj-10-13708-g012.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/aec5/9285492/227a71abc036/peerj-10-13708-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/aec5/9285492/2af621a0f4e7/peerj-10-13708-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/aec5/9285492/42249f178c91/peerj-10-13708-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/aec5/9285492/834f049cbbe9/peerj-10-13708-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/aec5/9285492/9dd46846046a/peerj-10-13708-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/aec5/9285492/cee1d0962550/peerj-10-13708-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/aec5/9285492/b0d7bbc8a749/peerj-10-13708-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/aec5/9285492/1e73ee385073/peerj-10-13708-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/aec5/9285492/198ea9419186/peerj-10-13708-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/aec5/9285492/67a1d8d8f578/peerj-10-13708-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/aec5/9285492/2abaa5b2c0ac/peerj-10-13708-g011.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/aec5/9285492/499509cd1394/peerj-10-13708-g012.jpg

相似文献

1
Downregulation of the enhancer of zeste homolog 1 transcriptional factor predicts poor prognosis of triple-negative breast cancer patients.EZH1 转录因子下调预示三阴性乳腺癌患者预后不良。
PeerJ. 2022 Jul 12;10:e13708. doi: 10.7717/peerj.13708. eCollection 2022.
2
Upregulated cyclins may be novel genes for triple-negative breast cancer based on bioinformatic analysis.基于生物信息学分析,上调的细胞周期蛋白可能是三阴性乳腺癌的新基因。
Breast Cancer. 2020 Sep;27(5):903-911. doi: 10.1007/s12282-020-01086-z. Epub 2020 Apr 27.
3
Overexpression of CDCA7 predicts poor prognosis and induces EZH2-mediated progression of triple-negative breast cancer.CDCA7 过表达预示着三阴性乳腺癌不良预后并诱导 EZH2 介导的进展。
Int J Cancer. 2018 Nov 15;143(10):2602-2613. doi: 10.1002/ijc.31766. Epub 2018 Sep 19.
4
Highly heterogeneous-related genes of triple-negative breast cancer: potential diagnostic and prognostic biomarkers.三阴性乳腺癌高度异质相关基因:潜在的诊断和预后生物标志物。
BMC Cancer. 2021 May 31;21(1):644. doi: 10.1186/s12885-021-08318-1.
5
[Prognostic values of spindle checkpoint protein BUB1B in triple negative breast cancer].[纺锤体检查点蛋白BUB1B在三阴性乳腺癌中的预后价值]
Zhonghua Bing Li Xue Za Zhi. 2021 Jun 8;50(6):645-649. doi: 10.3760/cma.j.cn112151-20210131-00108.
6
Identification of a five genes prognosis signature for triple-negative breast cancer using multi-omics methods and bioinformatics analysis.利用多组学方法和生物信息学分析鉴定三阴性乳腺癌的五个基因预后标志物。
Cancer Gene Ther. 2022 Nov;29(11):1578-1589. doi: 10.1038/s41417-022-00473-2. Epub 2022 Apr 26.
7
Novel biomarkers identified in triple-negative breast cancer through RNA-sequencing.通过 RNA 测序鉴定三阴性乳腺癌中的新型生物标志物。
Clin Chim Acta. 2022 Jun 1;531:302-308. doi: 10.1016/j.cca.2022.04.990. Epub 2022 Apr 30.
8
PKMYT1 knockdown inhibits cholesterol biosynthesis and promotes the drug sensitivity of triple-negative breast cancer cells to atorvastatin.PKMYT1 敲低抑制胆固醇生物合成并增强三阴性乳腺癌细胞对阿托伐他汀的药物敏感性。
PeerJ. 2024 Jul 12;12:e17749. doi: 10.7717/peerj.17749. eCollection 2024.
9
High expression of TLR3 in triple-negative breast cancer predicts better prognosis-data from the Fudan University Shanghai Cancer Center cohort and tissue microarrays.TLR3 在三阴性乳腺癌中的高表达预示着更好的预后——来自复旦大学上海癌症中心队列和组织微阵列的数据。
BMC Cancer. 2023 Apr 1;23(1):298. doi: 10.1186/s12885-023-10721-9.
10
A ten N6-methyladenosine-related long non-coding RNAs signature predicts prognosis of triple-negative breast cancer.一个包含十个 N6-甲基腺苷相关的长非编码 RNA 的签名可以预测三阴性乳腺癌的预后。
J Clin Lab Anal. 2021 Jun;35(6):e23779. doi: 10.1002/jcla.23779. Epub 2021 May 2.

本文引用的文献

1
Parthenolide reverses the epithelial to mesenchymal transition process in breast cancer by targeting TGFbeta1: In vitro and in silico studies.小白菊内酯通过靶向 TGFβ1 逆转乳腺癌中的上皮间质转化过程:体外和计算研究。
Life Sci. 2022 Jul 15;301:120610. doi: 10.1016/j.lfs.2022.120610. Epub 2022 May 5.
2
Parthenolide Suppresses T Helper 17 and Alleviates Experimental Autoimmune Encephalomyelitis.小白菊内酯抑制辅助性 T 细胞 17 分化并缓解实验性自身免疫性脑脊髓炎。
Front Immunol. 2022 Apr 20;13:856694. doi: 10.3389/fimmu.2022.856694. eCollection 2022.
3
EZH1/2 inhibition augments the anti-tumor effects of sorafenib in hepatocellular carcinoma.
EZH1/2 抑制增强索拉非尼在肝细胞癌中的抗肿瘤作用。
Sci Rep. 2021 Nov 1;11(1):21396. doi: 10.1038/s41598-021-00889-0.
4
Survival analysis across the entire transcriptome identifies biomarkers with the highest prognostic power in breast cancer.对整个转录组进行生存分析可识别出乳腺癌中具有最高预后能力的生物标志物。
Comput Struct Biotechnol J. 2021 Jul 18;19:4101-4109. doi: 10.1016/j.csbj.2021.07.014. eCollection 2021.
5
Cross-sectional and longitudinal associations between adherence to Mediterranean diet with physical performance and cognitive function in older adults: A systematic review and meta-analysis.横断面和纵向研究中老年人群遵守地中海饮食与身体机能和认知功能的关系:系统评价和荟萃分析。
Ageing Res Rev. 2021 Sep;70:101395. doi: 10.1016/j.arr.2021.101395. Epub 2021 Jun 19.
6
Cancer stem cells in TNBC.三阴性乳腺癌中的癌症干细胞
Semin Cancer Biol. 2022 Jul;82:26-34. doi: 10.1016/j.semcancer.2021.06.015. Epub 2021 Jun 18.
7
Inhibition of cell-intrinsic NF-κB activity and metastatic abilities of breast cancer by aloe-emodin and emodic-acid isolated from Asphodelus microcarpus.从山菅中分离得到的大黄素和大黄酸抑制乳腺癌细胞内固有 NF-κB 活性和转移能力。
J Nat Med. 2021 Sep;75(4):840-853. doi: 10.1007/s11418-021-01526-w. Epub 2021 May 14.
8
Chitosan Membranes Filled with Cyclosporine A as Possible Devices for Local Administration of Drugs in the Treatment of Breast Cancer.壳聚糖膜载环孢素 A 作为局部给药治疗乳腺癌药物的可能载体。
Molecules. 2021 Mar 26;26(7):1889. doi: 10.3390/molecules26071889.
9
CDKN1C-mediated growth inhibition by an EZH1/2 dual inhibitor overcomes resistance of mantle cell lymphoma to ibrutinib.EZH1/2 双重抑制剂介导的 CDKN1C 抑制生长可克服套细胞淋巴瘤对依鲁替尼的耐药性。
Cancer Sci. 2021 Jun;112(6):2314-2324. doi: 10.1111/cas.14905. Epub 2021 May 1.
10
Overexpression of EZH2/NSD2 Histone Methyltransferase Axis Predicts Poor Prognosis and Accelerates Tumor Progression in Triple-Negative Breast Cancer.EZH2/NSD2组蛋白甲基转移酶轴的过表达预示三阴性乳腺癌预后不良并加速肿瘤进展。
Front Oncol. 2021 Feb 16;10:600514. doi: 10.3389/fonc.2020.600514. eCollection 2020.